sim.divergence.geo {RPANDA} | R Documentation |
Simulation of trait data under the model of divergent character displacement described in Drury et al. 2017
Description
Simulates the evolution of a continuous character under a model of evolution where trait values are repelled according to between-species similarity in trait values, taking into account biogeography using a biogeo.object formatted from RPANDA (see CreateGeoObject function in RPANDA package)
Usage
sim.divergence.geo(phylo,pars, Nsegments=2500, plot=FALSE, geo.object)
Arguments
phylo |
a phylogenetic tree |
pars |
A matrix with a number of rows corresponding to the desired number of simulations, columns containing values for |
Nsegments |
the minimum number of time steps to simulate |
plot |
logical indicating whether to plot the simulated trait values at each time step |
geo.object |
geography object created using CreateGeoObject |
Details
Adjusting Nsegments
will impact the length of time the simulations take.
The length of each segment (max(nodeHeights(phylo))/Nsegments
)
should be much smaller than the smallest branch (min(phylo$edge.length)
).
Value
A matrix with the simulated values for each lineage (one simulation per row; columns correspond to species)
Author(s)
J.P. Drury jonathan.p.drury@gmail.com F. Hartig
References
Drury, J., Grether, G., Garland Jr., T., and Morlon, H. 2017. A review of phylogenetic methods for assessing the influence of interspecific interactions on phenotypic evolution. Systematic Biology
See Also
Examples
data(Anolis.data)
phylo<-Anolis.data$phylo
geo.object<-Anolis.data$geography.object
#simulate with the OU process present and absent
pars<-expand.grid(0.05,2,1,0,c(2,0),0)
sim.divergence.geo(phylo,pars,Nsegments=2500, plot=FALSE, geo.object)